Chatbot Development

Overview
Curriculum

Chatbot Development Course Summary

The Chatbot Development Course is a 3-month intensive program designed to provide participants with the knowledge and skills needed to design, build, and deploy advanced chatbots. This program covers the fundamentals of chatbot development, including natural language processing (NLP), conversational design, integration with messaging platforms, and deployment. Through hands-on projects and practical applications, students will learn to create effective and engaging chatbots for various use cases, from customer service to virtual assistants.

Who Should Attend

This course is ideal for:

Aspiring Chatbot Developers: Individuals interested in creating conversational agents and entering the chatbot development field.
Software Developers and Engineers: Professionals looking to expand their skill set by learning about chatbot development and integrating it into their projects.
Product Managers and UX Designers: Professionals seeking to understand chatbot capabilities to improve user experiences and product offerings.
Entrepreneurs and Startups: Business owners who want to leverage chatbots to enhance customer interactions and automate services.
AI Enthusiasts: Individuals with a passion for artificial intelligence and natural language processing who want to apply these technologies in practical applications.

No prior experience in chatbot development is required, but basic programming knowledge is recommended. The course is designed to provide a comprehensive foundation and hands-on experience to ensure all participants are well-prepared to develop sophisticated chatbots.

Course Curriculum

Introduction to Chatbot Development

Overview of Chatbots
What are chatbots?
Types of chatbots: Rule-based vs. AI-based
Applications and use cases
Tools and Technologies
Introduction to programming languages (Python, JavaScript)
Overview of chatbot frameworks (Dialogflow, Rasa, Microsoft Bot Framework)

Natural Language Processing (NLP) Fundamentals

Basics of NLP
Tokenization, stemming, and lemmatization
Named Entity Recognition (NER)
Part-of-Speech (POS) tagging
NLP Libraries and Tools
Introduction to NLTK and spaCy
Text preprocessing techniques

Conversational Design

Designing Conversations
Principles of conversational design
Crafting effective dialogue
Handling user inputs and responses
User Experience (UX) in Chatbots
Best practices for chatbot UX
Designing for different platforms (web, mobile, messaging apps)

Building Rule-Based Chatbots

Rule-Based Logic
Creating decision trees
Implementing flow-based conversations
Hands-On Project
Building a simple rule-based chatbot using Python

Introduction to AI-Based Chatbots

Machine Learning Basics.
Supervised vs. unsupervised learning
Training and evaluating models
Introduction to Dialogflow
Setting up Dialogflow
Creating intents, entities, and contexts

Advanced AI-Based Chatbots

Deep Learning for Chatbots
Basics of neural networks
Using pre-trained models for NLP
Introduction to Rasa
Setting up Rasa
Building custom actions and stories

Integrating Chatbots with Messaging Platforms

Integration Techniques
Connecting chatbots to Facebook Messenger, WhatsApp, Slack
Using webhooks and APIs
Hands-On Project
Deploying a chatbot on a messaging platform

Enhancing Chatbot Functionality

Advanced Features
Contextual awareness
Multi-turn conversations
Handling interruptions and fallbacks
Natural Language Understanding (NLU)
Improving intent recognition
Custom NLU models with Rasa

Voice-Based Chatbots

Introduction to Voice Assistants
Overview of Alexa, Google Assistant
Voice interface design principles
Developing Voice Skills
Creating a voice skill for Alexa or Google Assistant
Testing and deploying voice applications

Testing and Debugging Chatbots

Testing Strategies
Unit testing and integration testing
User testing and feedback loops
Debugging Techniques
Common issues and troubleshooting
Using logs and analytics for debugging

Capstone Project

Project Planning and Execution
Scoping and planning the project
Data collection and preprocessing
Building and training the chatbot
Integration and deployment
Final Presentation
Demonstrating the chatbot
Presenting project findings and insights

Enroll in Offline Chatbot Development Course in Noida/Delhi NCR

99Skills training centre in Noida Sector 62 offers chatbot development course that is uniquely tailored offline training experience. Benefit from direct interaction with expert instructors, personalized feedback, and hands-on practice with industry tools and datasets, ensuring comprehensive skill development for a successful career in AI.

99Skills is one of the top institute for chatbot development course in Delhi NCR/Noida